{"schemaVersion":"jobsearcher.job.v1","id":"1ebe4f9e3390f47ce01fbf47","url":"https://jobsearcher.com/jobs/1ebe4f9e3390f47ce01fbf47","canonicalUrl":"https://jobsearcher.com/jobs/1ebe4f9e3390f47ce01fbf47","title":"Senior Data Engineer / Data Architect (Remote and W2)","description":"Senior Data Engineer / Data Architect (Remote and W2)\n\nKey Responsibilities:\nDesign & Architecture: Architect and design large-scale data systems, leveraging cloud technologies such as Azure Databricks, Snowflake, AWS, and Azure Synapse for healthcare data ecosystems.\nETL/ELT Pipelines: Build and optimize data pipelines using dbt, Apache Airflow, Azure Data Factory, and Python/PySpark to manage large volumes of healthcare data.\nHealthcare Data Integration: Integrate data from systems such as Epic (Clarity, Caboodle, Tapestry), FHIR, HL7, and claims data for analysis and AI/ML models.\nAI & Machine Learning: Implement AI-driven analytics, predictive modeling, and machine learning workflows to automate healthcare data processes and generate actionable insights.\nGovernance & Compliance: Implement and manage data governance frameworks ensuring HIPAA and GDPR compliance.\nCollaboration & Mentorship: Collaborate with cross-functional teams and mentor junior engineers to ensure the success of data engineering initiatives.\nReporting & Business Intelligence: Develop dashboards using tools like Power BI, Qlik Sense, and DOMO, ensuring that data insights are actionable and meet business needs.\nOptimization & Performance Tuning: Continuously monitor and optimize data systems for performance, reliability, and scalability.\nKey Skills & Experience:\nExperience: 10+ years of experience in data engineering or data architecture, particularly in the healthcare or large-scale data systems sector.\nHealthcare Systems: Strong knowledge of healthcare data systems, including Epic, FHIR, HL7, claims data, and Revenue Cycle Management (RCM).\nCloud Platforms: Expertise in Azure Databricks, Snowflake, AWS (S3, Glue, Lambda, Redshift), and Azure Synapse.\nData Engineering Tools: Hands-on experience with dbt, Apache Airflow, Azure Data Factory, Python, PySpark, and other data engineering tools.\nMachine Learning: Experience with AI-driven analytics, predictive modeling, and tools like Azure AI Foundry and NLP.\nBI & Reporting: Proficiency in Power BI, Qlik Sense, DOMO, and other BI/reporting tools.\nCompliance: Knowledge of HIPAA, GDPR, and other healthcare data compliance standards.\nTeam Collaboration: Excellent communication skills and ability to work in a collaborative, remote environment.\nEducation: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.\nPreferred Qualifications:\nCertifications in Epic Systems or related healthcare platforms.\nExperience with Delta Lake, Unity Catalog, and Lakehouse Architecture.\nExpertise in AI, machine learning, and predictive analytics techniques.\nFamiliarity with large-scale healthcare data integration and governance frameworks.","company":"Vibotekllc","rawCompany":"vibotekllc","isRemote":true,"isActive":false,"createdAt":"2026-08-04T21:19:33.525Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer / Data Architect (Remote and W2)","description":"Senior Data Engineer / Data Architect (Remote and W2)\n\nKey Responsibilities:\nDesign & Architecture: Architect and design large-scale data systems, leveraging cloud technologies such as Azure Databricks, Snowflake, AWS, and Azure Synapse for healthcare data ecosystems.\nETL/ELT Pipelines: Build and optimize data pipelines using dbt, Apache Airflow, Azure Data Factory, and Python/PySpark to manage large volumes of healthcare data.\nHealthcare Data Integration: Integrate data from systems such as Epic (Clarity, Caboodle, Tapestry), FHIR, HL7, and claims data for analysis and AI/ML models.\nAI & Machine Learning: Implement AI-driven analytics, predictive modeling, and machine learning workflows to automate healthcare data processes and generate actionable insights.\nGovernance & Compliance: Implement and manage data governance frameworks ensuring HIPAA and GDPR compliance.\nCollaboration & Mentorship: Collaborate with cross-functional teams and mentor junior engineers to ensure the success of data engineering initiatives.\nReporting & Business Intelligence: Develop dashboards using tools like Power BI, Qlik Sense, and DOMO, ensuring that data insights are actionable and meet business needs.\nOptimization & Performance Tuning: Continuously monitor and optimize data systems for performance, reliability, and scalability.\nKey Skills & Experience:\nExperience: 10+ years of experience in data engineering or data architecture, particularly in the healthcare or large-scale data systems sector.\nHealthcare Systems: Strong knowledge of healthcare data systems, including Epic, FHIR, HL7, claims data, and Revenue Cycle Management (RCM).\nCloud Platforms: Expertise in Azure Databricks, Snowflake, AWS (S3, Glue, Lambda, Redshift), and Azure Synapse.\nData Engineering Tools: Hands-on experience with dbt, Apache Airflow, Azure Data Factory, Python, PySpark, and other data engineering tools.\nMachine Learning: Experience with AI-driven analytics, predictive modeling, and tools like Azure AI Foundry and NLP.\nBI & Reporting: Proficiency in Power BI, Qlik Sense, DOMO, and other BI/reporting tools.\nCompliance: Knowledge of HIPAA, GDPR, and other healthcare data compliance standards.\nTeam Collaboration: Excellent communication skills and ability to work in a collaborative, remote environment.\nEducation: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.\nPreferred Qualifications:\nCertifications in Epic Systems or related healthcare platforms.\nExperience with Delta Lake, Unity Catalog, and Lakehouse Architecture.\nExpertise in AI, machine learning, and predictive analytics techniques.\nFamiliarity with large-scale healthcare data integration and governance frameworks.","datePosted":"2026-08-04T21:19:33.525Z","dateModified":"2026-08-04T21:19:33.525Z","hiringOrganization":{"@type":"Organization","name":"Vibotekllc","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1ebe4f9e3390f47ce01fbf47"},"url":"https://jobsearcher.com/jobs/1ebe4f9e3390f47ce01fbf47"}}